Parallel computing technology trends

Bibliographic Details
Corporate Author: ParCo2019 Prague, Czech Republic
Other Authors: Foster, Ian, 1959-, Joubert, G. R. (Gerhard Robert), Kučera, Luděk, Nagel, Wolfgang E., Peters, F. J.
Format: Conference Proceeding eBook
Language:English
Published: Amsterdam ; Washington, DC IOS Press, [2020]
Series:Advances in parallel computing ; v. 36.
Subjects:
Online Access:EBSCOhost
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111 2 |a ParCo2019  |d (2019 :  |c Prague, Czech Republic),  |j author.  |9 913652 
245 1 0 |a Parallel computing  |b technology trends  |c edited by Ian Foster (Argonne National Laboratory and University of Chicago, Chicago, USA), Gerhard R. Joubert (Technical University Clausthal, Clausthal-Zellerfeld, Germany), Luděk Kučera (Charles University, Prague, Czech Republic), Wolfgang E. Nagel (Technical University Dresden, Dresden, Germany) and Frans Peters (formerly Philips Research, Eindhoven, Netherlands). 
264 1 |a Amsterdam ;  |a Washington, DC  |b IOS Press,  |c [2020] 
300 |a 1 online resource (xvii, 785 pages) 
490 1 |a Advances in parallel computing,  |x 0927-5452 ;  |v v. 36 
500 |a Conference: "ParCo2019, held in Prague, Czech Republic, from 10-13 September 2019, ..."--Back cover. 
504 |a Includes bibliographical references and indexes. 
588 0 |a Online resource; title from PDF title page (EBSCO, viewed July 6, 2020). 
505 0 |a Intro -- Title Page -- Preface -- Conference Organisation -- Contents -- Opening -- Four Decades of Cluster Computing -- Invited Talks -- Will We Ever Have a Quantum Computer? -- Empowering Parallel Computing with Field Programmable Gate Arrays -- Main Track -- Deep Learning Applications -- First Experiences on Applying Deep Learning Techniques to Prostate Cancer Detection -- Deep Generative Model Driven Protein Folding Simulations -- Economics -- A Scalable Approach to Econometric Inference -- Cloud vs On-Premise HPC: A Model for Comprehensive Cost Assessment -- GPU Computing Methods 
505 8 |a GPU Architecture for Wavelet-Based Video Coding Acceleration -- GPGPU Computing for Microscopic Pedestrian Simulation -- High Performance Eigenvalue Solver for Hubbard Model: Tuning Strategies for LOBPCG Method on CUDA GPU -- Parallel Smoothers in Multigrid Method for Heterogeneous CPU-GPU Environment -- Load Balancing Methods -- Progressive Load Balancing in Distributed Memory. Mitigating Performance and Progress Variability in Iterative Asynchronous Algorithms -- Learning-Based Load Balancing for Massively Parallel Simulations of Hot Fusion Plasmas 
505 8 |a Load-Balancing for Large-Scale Soot Particle Agglomeration Simulations -- On the Autotuning of Task-Based Numerical Libraries for Heterogeneous Architectures -- Parallel Algorithms -- Batched 3D-Distributed FFT Kernels Towards Practical DNS Codes -- On Superlinear Speedups of a Parallel NFA Induction Algorithm -- A Domain Decomposition Reduced Order Model with Data Assimilation (DD-RODA) -- Predicting Performance of Classical and Modified BiCGStab Iterative Methods -- Parallel Applications -- Gadget3 on GPUs with OpenACC -- Exploring High Bandwidth Memory for PET Image Reconstruction 
505 8 |a Parallel Architecture -- The Architecture of Heterogeneous Petascale HPC RIVR -- Design of an FPGA-Based Matrix Multiplier with Task Parallelism -- Application Performance of Physical System Simulations -- Parallel Methods -- A Hybrid MPI+Threads Approach to Particle Group Finding Using Union-Find -- Parallel Performance -- Improving the Scalability of the ABCD Solver with a Combination of New Load Balancing and Communication Minimization Techniques -- Characterization of Power Usage and Performance in Data-Intensive Applications Using MapReduce over MPI 
505 8 |a Feedback-Driven Performance and Precision Tuning for Automatic Fixed Point Exploitation -- Parallel Programming -- A GPU-CUDA Framework for Solving a Two-Dimensional Inverse Anomalous Diffusion Problem -- Parallelization Strategies for GPU-Based Ant Colony Optimization Applied to TSP -- DBCSR: A Blocked Sparse Tensor Algebra Library -- Acceleration of Hydro Poro-Elastic Damage Simulation in a Shared-Memory Environment -- BERTHA and PyBERTHA: State of the Art for Full Four-Component Dirac-Kohn-Sham Calculations -- Prediction-Based Partitions Evaluation Algorithm for Resource Allocation 
653 0 |a Parallel processing (Electronic computers)  |v Congresses. 
653 7 |a Parallel processing (Electronic computers)  |2 fast  |0 (OCoLC)fst01052928 
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655 0 |a Electronic books.  |9 899821 
655 4 |a Electronic books.  |9 899821 
700 1 |a Foster, Ian,  |d 1959-  |9 913653 
700 1 |a Joubert, G. R.  |q (Gerhard Robert),  |9 913654 
700 1 |a Kučera, Luděk,  |9 331397 
700 1 |a Nagel, Wolfgang E.,  |9 913655 
700 1 |a Peters, F. J.,  |9 913656 
830 0 |a Advances in parallel computing ;  |v v. 36.  |9 913657 
856 4 0 |3 EBSCOhost  |u https://www.lib.tsu.ru/limit/2023/EBSCO/2512603.pdf 
856 |y Перейти в каталог НБ ТГУ  |u https://koha.lib.tsu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=1014405 
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